PYTHON画地图_python 地图 annotation

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

xx = []
yy = []
th = []

def OutputCoordinate(x,y,th):
    strlist="x=%.2f,y=%.2f,th=%.2f"%(x,y,th)
    # PointTipText=plt.text(x,y*1.02,strlist, ha='center', va='bottom', fontsize=10)
    # plt.text(x,y*1.02,str('/'), ha='center', va='bottom', fontsize=10.5)
    # plt.text(x+0.07,y*1.02,"y=%.2f"%y, ha='center', va='bottom', fontsize=10)
    # print(x,y)
    # print(PointTipText)
    return strlist

def mapdataDispose():
    Path = "D:\RTK_DATA_DISPOSE\RTKtest\\mapdata.txt"

    infile = open(Path, 'rb')

    numCount=0
    line=infile.readline()
    while line:
        a=line.split()
        x=float(a[0])
        y=float(a[1])
        angle=float(a[2])
    # if numCount%2==0:
        xx.append(x)
        yy.append(y)
        th.append(angle)
        OutputCoordinate(x,y,angle)
        numCount=numCount+1
        line=infile.readline()

    # point,=plt.plot(xx,yy,marker = "+",markersize=7)#marker设置标记形状 markersize设置标记大小
    # plt.xlim(1,100)#限制取值范围
    # plt.ylim(1,100)
    # plt.xticks(np.arange(-10,10,1))#设置取值范围和间隔
    # plt.yticks(np.arange(-10,10,1))
    # plt.legend()  # 显示图例
    # plt.grid()  # 生成网格
    # plt.show()
    infile.close()

def RelocationdataDispose():
    Path = "D:\RTK_DATA_DISPOSE\RTKtest\\relocation.txt"

    infile = open(Path, 'rb')

    numCount=0
    line=infile.readline()
    while line:
        a=line.split()
        # plt.plot(gpsData[numCount,1],gpsData[numCount,2],'ro')
        x=float(a[1])
        y=float(a[2])
        angle=float(a[0])
        # if numCount%2==0:
        xx.append(x)
        yy.append(y)
        th.append(angle)
        OutputCoordinate(x,y,angle)
        numCount=numCount+1
        line=infile.readline()

    # point,=plt.plot(xx,yy,marker = "+",markersize=7)#marker设置标记形状 markersize设置标记大小
    # plt.xlim(1,100)#限制取值范围
    # plt.ylim(1,100)
    # plt.xticks(np.arange(-10,10,1))#设置取值范围和间隔
    # plt.yticks(np.arange(-10,10,1))
    # plt.legend()  # 显示图例
    # plt.grid()  # 生成网格
    # plt.show()
    infile.close()

def ODOdataDispose():
    Path = "D:\RTK_DATA_DISPOSE\RTKtest\\mapdata.txt"

    infile = open(Path, 'rb')

    numCount=0
    line=infile.readline()
    while line:
        a=line.split()
        # plt.plot(gpsData[numCount,1],gpsData[numCount,2],'ro')
        x=float(a[2])
        y=float(a[3])
        angle=float(a[5])
        # if numCount%2==0:
        xx.append(x)
        yy.append(y)
        th.append(angle)
        OutputCoordinate(x,y,angle)
        numCount=numCount+1
        line=infile.readline()

    # point,=plt.plot(xx,yy,marker = "+",markersize=7)#marker设置标记形状 markersize设置标记大小
    # plt.xlim(1,100)#限制取值范围
    # plt.ylim(1,100)
    # plt.xticks(np.arange(-10,10,1))#设置取值范围和间隔
    # plt.yticks(np.arange(-10,10,1))
    # plt.legend()  # 显示图例
    # plt.grid()  # 生成网格
    # plt.show()
    infile.close()

# 定义鼠标响应函数
def on_move(event):
    visibility_changed = False
    for point, annotation in po_annotation1:
        should_be_visible = (point.contains(event)[0] == True)

        if should_be_visible != annotation.get_visible():
            visibility_changed = True
            annotation.set_visible(should_be_visible)

    if visibility_changed:
        # fig.canvas.draw_idle()#重新绘制整个图表 
        plt.plot(xx,yy,'b',marker = "+",markersize=7)#marker设置标记形状 markersize设置标记大小
        plt.draw()


mapdataDispose();
#RelocationdataDispose();

# ODOdataDispose()

fig,ax = plt.subplots()
# fig.set_size_inches(24, 12)
# po_annotation1 为 ‘买’ 时需要显示的标注信息
# 该 list 内部存放多个子 list，每个子 list 为 [标注点的坐标, 标注]
po_annotation1 = []
for i in range(len(xx)):
    # 标注点的坐标
    point_x = xx[i]
    point_y = yy[i]
    point_th = th[i]
    point, = plt.plot(point_x, point_y,'b.:',markersize=7,linewidth=1)
    # print(point)
    # 标注框偏移量
    offset1 = 20
    offset2 = 20
    # 标注框
    bbox1 = dict(boxstyle="round", fc='lightgreen', alpha=0.6)
    # 标注箭头
    arrowprops1 = dict(arrowstyle="->", connectionstyle="arc3,rad=0.")
    # 标注
    annotation = plt.annotate((i,OutputCoordinate(point_x,point_y,point_th)), xy=(point_x,point_y), xytext=(-offset1, offset2), textcoords='offset points',
                              bbox=bbox1, arrowprops=arrowprops1, size=15)
    # 默认鼠标未指向时不显示标注信息
    annotation.set_visible(False)
    po_annotation1.append([point, annotation])

# 鼠标移动事件
on_move_id = fig.canvas.mpl_connect('motion_notify_event', on_move)
plt.legend()  # 显示图例
plt.grid()  # 生成网格
plt.show()
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160

用python画地图数据，并输出图形